Bill BAO 👋

Professional Summary

Qinghang Bao (Bill) is a PhD student at The University of Hong Kong Faculty of Dentistry, specializing in AI applications in healthcare and precision medicine. He holds a Master of Science in Computer Science from HKU and dual degrees in Software Engineering from University College Dublin and Beijing University of Technology, with an outstanding academic record (GPA 3.90/4.2, ranking 2/88). Bill has extensive research experience in NLP, graph neural networks, and large language models, with multiple publications in top-tier venues. He has worked on Cantonese language processing, developing LLM-based customer support systems. Bill is a rational optimist and good team player, now pursuing his PhD in AI with a focus on AI4Healthcare.

Education

Doctor of Philosophy (PhD)

The University of Hong Kong

Master of Science in Computer Science (Distinction)

The University of Hong Kong (HKU)

Bachelor of Science in Software Engineering (First-Class Honours)

University College Dublin (UCD) and Beijing University of Technology

Interests

AI in Healthcare Natural Language Processing Large Language Models Graph Neural Networks Dental Research
📚 My Research
Please reach out to collaborate 😃
Recent Publications
(2025). Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models. arXiv preprint arXiv:2503.03702.
(2024). ChatGPT-based meta-analysis for evaluating the temporal and spatial characteristics of deoxynivalenol contamination in Chinese wheat. Journal of Hazardous Materials.
(2024). How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models. arXiv preprint arXiv:2408.16756.
(2023). A graph-based code representation method to improve code readability classification. Empirical Software Engineering.
(2023). Identifying topics and trends in devops: A study of stack overflow posts. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).